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About the Role

Dedalus Labs is an AI research neolab building infrastructure for AI agents, specifically the persistent compute layer for autonomous software. This paid, full-time, approximately three-month internship in San Francisco offers the opportunity to work directly on real infrastructure, write production-quality code, and solve challenging problems alongside experienced engineers.

Responsibilities

• Work directly alongside Dedalus engineers on real infrastructure.
• Take ownership of tasks and projects.
• Write production-quality code.
• Investigate difficult problems.
• Explain technical decisions.
• Contribute to distributed infrastructure for large-scale AI agent workloads.
• Contribute to persistent compute and distributed storage systems.
• Contribute to scheduling and orchestration platforms.
• Contribute to virtualization, containerization, and sandboxing infrastructure.
• Contribute to reliable multi-tenant cloud systems.
• Contribute to internal developer platforms and infrastructure tooling.
• Contribute to performance, reliability, observability, and failure recovery.
• Contribute to production systems operating under real-world latency and fault-tolerance constraints.
• Build components of distributed storage systems for persistent agent state.
• Improve the reliability or recovery behavior of production services.
• Design scheduling infrastructure for concurrent, long-running agent workloads.
• Investigate bottlenecks across storage, networking, scheduling, or runtime layers.
• Build internal tooling to improve infrastructure operation and debugging.
• Design tests simulating partial failures, machine loss, or degraded networks.
• Improve observability for distributed workloads.
• Prototype new isolation, caching, or orchestration mechanisms.
• Read systems papers, implement parts, and compare tradeoffs with current architecture.
• Own and ship a meaningful infrastructure project.
• Develop a deeper understanding of production distributed systems.
• Demonstrate strong technical judgment and debugging ability.
• Respond thoughtfully and quickly to feedback.
• Write clear code, tests, documentation, and architectural reasoning.
• Make Dedalus’s infrastructure meaningfully more reliable, performant, or usable.
• Provide sufficient evidence for assessment of possible long-term fit.

Requirements

• A public GitHub profile is required.
• Demonstrated programming ability in Rust, Go, C, C++, or a similar language.
• Evidence of building and completing technically meaningful projects.
• Solid computer-science fundamentals and a genuine interest in systems.
• Ability to reason clearly about tradeoffs, failure modes, and debugging.
• Specificity about personal contributions and decisions made.
• High agency, intellectual honesty, curiosity, and learning velocity.
• Strong written and verbal technical communication.
• Ability to work full-time and in person in San Francisco for approximately three months.
• A specific reason for wanting to work on infrastructure for AI agents at Dedalus.
• Self-directed systems projects built beyond required coursework.
• Meaningful open-source contributions.
• Experience building a storage engine, scheduler, database, runtime, compiler, operating system, hypervisor, container system, or distributed service.
• Correct implementation of Raft, Paxos, replication, sharding, or another distributed-systems concept with thoughtful testing and documentation.
• Technical writing that explains architecture, failure modes, and tradeoffs.
• Evidence of others using or depending on something built.
• Research accompanied by a working implementation.
• Experience with a project where a difficult failure was encountered and diagnosed.
• Repeated evidence of unusually fast learning and end-to-end ownership.
• Class projects can demonstrate baseline knowledge; initiated, extended, or pursued projects beyond requirements are stronger signals.

Skills

• Distributed systems
• Systems failure analysis
• Consistency
• Fault tolerance
• Concurrency
• Latency
• System correctness
• Operating systems
• Storage engines
• Schedulers
• Networks
• Runtimes
• Rust
• Go
• C
• C++
• Debugging
• Technical communication
• Distributed storage systems
• Consistency models
• Consensus algorithms
• Replication protocols
• Kubernetes
• Modern cloud infrastructure
• Virtualization
• Hypervisors
• Containers
• Firecracker
• Kernel
• Low-level runtime
• Performance engineering
• Systems-focused open-source projects
• Systems research
• Infrastructure operation
• AI agent infrastructure
• Long-running workloads
• Simple architecture
• Principled tradeoffs
• Clear abstractions

Location

• San Francisco

Work Type

• Full-time
• In person

Experience Level

• Intern
• Students
• Recent graduates
• Researchers
• Self-taught engineers
• Early-career engineers

Salary/Compensations

• Paid

Benefits

• Meals and office benefits included.
• Relocation support may be available.
• Visa support may be considered.
• Possible consideration for full-time employment.

About the Company

• Dedalus Labs is an AI research neolab building infrastructure for AI agents.
• We’re building the persistent compute layer that powers the next generation of autonomous software.
• Our platform spans distributed storage, virtualization, orchestration, networking, scheduling, and runtime infrastructure for long-running AI agents.